KEYWORDS: 3D modeling, Solids, Calibration, 3D metrology, Clouds, Feature extraction, Image processing, Image compression, 3D image processing, 3D image reconstruction
A new 3D automatic reconstruction method of micro solid of revolution is presented in this paper. In the implementation
procedure of this method, image sequence of the solid of revolution of 360° is obtained, which rotation speed is
controlled by motor precisely, in the rotate photographic mode of back light. Firstly, we need calibrate the height of
turntable, the size of pixel and rotation axis of turntable. Then according to the calibration result of rotation axis, the
height of turntable, rotation angle and the pixel size, the contour points of each image can be transformed into 3D points
in the reference coordinate system to generate the point cloud model. Finally, the surface geometrical model of solid of
revolution is obtained by using the relationship of two adjacent contours. Experimental results on real images are
presented, which demonstrate the effectiveness of the Approach.
A high-accurate line feature extraction algorithm based on line diffusion function model has been proposed in this paper,
using local gray value variations to precisely identify edge locations. This paper firstly analyzed the primary principle of
line diffusion function model, then showed that how to use the information of image window to determine the exact
position of line features in images. During the process, the mathematical model is provided and high-accurate line
feature extraction algorithm has been developed. Finally, this algorithm has been used to extract line features from aerial
images of urban area and experimental results are presented to demonstrate the efficiency and accuracy of the proposed
algorithm.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.